Massachusetts Institute Of Technology
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All courses for Massachusetts Institute Of Technology
- Part 2: Intelligent Agents - Artificial Intelligence 1
- Part 3.1: Problem solving - Searching 1
- Part 3.2: Uninformed Search 1
- Part 5.1 Knowledge Representation 1
- Part 5.2 Knowledge Representation - Logic 1
- Part 7.1: Learning from observations - Artificial Intelligence 1
- Part 8.1 - Applications of A.I and Application Domains 1
- Programming Languages 1
- SCO 113 – Artificial Intelligence - COMPUTER SCIENCE 1
- SCO 113– Part 4. Game playing Artificial Intelligence 1
- SCO 113– Foundations of Artificial Intelligence 1
- SCO 113– Foundations of Artificial Intelligence : INTRODUCTION TO STATE SPACE SEARCH 1
- Sco 215: System Analysis & Design 2
- SCO200 : OBJECT ORIENTED PROGRAMMING II 1
- Signal Processing and Linear Systems 1
- Software Project Management 1
- Software Testing and Quality Assurance 3
- System Analysis & Design 1
Latest notes & summaries Massachusetts Institute Of Technology
Purpose – This article identifies and describes the most prominent research areas connected with 'Big Data' and proposes a thorough definition of the term. Design/Methodology/Approach – We have analyzed a conspicuous corpus of industry A_descriptive_analysis_of_McDonalds_Info
Purpose – This article identifies and describes the most prominent research areas connected with 'Big Data' and proposes a thorough definition of the term. Design/Methodology/Approach – We have analyzed a conspicuous corpus of industry
Decision-making is a cognitive process stemming from the analysis of available courses of action related to a given problem. Rationally, potential courses of action are derived from deliberate analysis of available data related toDecision-making is a cognitive process stemming from the analysis of available courses of action related to a given problem. Rationally, potential courses of action are derived from deliberate analysis of available data related toDecision-making is a cognitive process s...
Doctoral_Dissertation_Normative_D 
Decision-making is a cognitive process stemming from the analysis of available courses of action related to a given problem. Rationally, potential courses of action are derived from deliberate analysis of available data related to
Decision-making is a cognitive process stemming from the analysis of available courses of action related to a given problem. Rationally, potential courses of action are derived from deliberate analysis of available data related to management
This document goes through an A student's notes from the 6.1200 courses at MIT. It goes over every lecture in the course and contains six units: Proofs, Iteration and Growth, Number Theory, Graph Theory, Counting, and Probability. It contains notes of over 20 lectures.
This document delves deep into the key properties of conductors and their crucial role in the study of electricity and magnetism. Conductors possess the remarkable characteristic of electrostatic shielding, wherein the electric field inside a conductor reaches zero in electrostatic equilibrium. This occurs as any excess charge on the conductor redistributes itself uniformly over the surface, effectively canceling out the external electric field. Consequently, conductors confine electric fields t...
These are the notes of an MIT student who received an A+ mark in the class! 
 
Electricity and Magnetism (course code 8.02) at MIT is a physics course that delves into the fundamental principles and concepts of electromagnetism. It is part of the introductory physics sequence and provides a comprehensive understanding of electric and magnetic phenomena. 
 
The course covers a wide range of topics, including: 
 
Electric Fields: Students learn about the concept of electric charge and how it gives...
Linear Algebra is a fundamental course in mathematics that focuses on the study of vector spaces and linear transformations. The course at MIT, taught by Professor Gilbert Strang and Andrew Horning during the 2022-2023 academic year, is highly regarded for its depth and quality. 
 
The course covers a wide range of topics, starting with the basics of vector spaces, subspaces, and linear independence. Students will learn about linear transformations and their matrix representations, as well as th...
Are you currently enrolled in the challenging course "14.01 Principles of Microeconomics"? Do you often find yourself struggling to grasp complex economic concepts and theories? We have the perfect solution for you! Our comprehensive and meticulously crafted lecture notes are designed to help you unlock the full potential of this course, ensuring your success and understanding of microeconomic principles. 
 
Our lecture notes offer an in-depth, complete, and well-structured study companion tha...